IntRo: An introduction to R for health data

Markdown notebooks illustrating the basics of R, RStudio and the tidyverse for medical research, epidemiology & related fields. Simulated health data.

Where to start: after installing R and RStudio, download these files (Click the green "Code" button, "Download ZIP"), unzip, and open intRo1 basics.Rmd.

1. The basics (Using RStudio; R Markdown notebooks and R scripts; assignment (<-); using functions and datasets)
2. Data visualisation (Using packages; making bar charts, Box plots and scatterplots with ggplot2)
3. Data summaries (Summarising continuous and categorical data; grouped summaries with dplyr, table 1 with gtsummary)
4. Data subsets (Filtering rows and selecting columns with dplyr and base R)
5. Data transformation (Importing and exporting data; calculate new variables, categorise continuous variables, regroup a categorical variable)
6. Data cleaning (Deleting and renaming variables; data classes; factors; labelling and recoding values)
7. Data reshaping (Joining datasets; wide and long formats; reshaping wide to long and vice versa)
8. Data analysis of continuous outcomes (data visualisation; t-test; linear regression)
9. Data analysis of binary outcomes (work in progress)

Author: Andrea Mazzella